UNPKG

@tensorflow/tfjs-core

Version:

Hardware-accelerated JavaScript library for machine intelligence

48 lines (41 loc) 1.45 kB
/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ import {Tensor, Tensor3D, Tensor4D} from '../tensor'; import {Conv2DInfo} from './conv_util'; export type Activation = 'linear'|'relu'|'prelu'|'elu'|'relu6'; export type FusedBatchMatMulConfig = { a: Tensor3D, b: Tensor3D, transposeA: boolean, transposeB: boolean, bias?: Tensor, activation?: Activation, preluActivationWeights?: Tensor }; export type FusedConv2DConfig = { input: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor, activation?: Activation, preluActivationWeights?: Tensor }; // Whether we should call fused ops. export const shouldFuse = (gradientDepth: number, activation: Activation) => { const gradientMode = gradientDepth > 0; return !gradientMode || activation === 'linear'; };